Triple
T37949739
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Geraldton Port |
E946709
|
entity |
| Predicate | handlesImportCommodity |
P44036
|
FINISHED |
| Object | fuel |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: fuel | Statement: [Geraldton Port, handlesImportCommodity, fuel]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: handlesImportCommodity Context triple: [Geraldton Port, handlesImportCommodity, fuel]
-
A.
handlesCommodity
chosen
Indicates that one entity is responsible for dealing with, managing, or processing a particular commodity in some operational or transactional capacity.
-
B.
importedCommodity
Indicates that a commodity has been brought into a country or region from abroad through import activities.
-
C.
hasCommercialImportance
Indicates that something possesses economic or business value significant enough to impact trade, revenue, or market activity.
-
D.
USImporter
Indicates that an entity acts as an importer of goods or services into the United States in the context of a transaction or trade relationship.
-
E.
supportsCommodity
Indicates that one entity provides the necessary functionality, infrastructure, or compatibility for another entity to handle, use, or trade a specified commodity.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69f76ef64cf08190ad3e1114b62aac67 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fc4748843c8190931432653be4890c |
completed | May 7, 2026, 8:03 a.m. |
| PD | Predicate disambiguation | batch_69fc45646ce481908caf292ff9f06e15 |
completed | May 7, 2026, 7:55 a.m. |
Created at: May 3, 2026, 4:20 p.m.